Lab / online experiment

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 31 - 60 of 133 studies

Code Comprehension With Github Copilot: Performance Gains, Comprehension Trade-Offs, And Behavioral Predictors In Brownfield Programming

Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (05/2026). arXiv. https://arxiv.org/abs/2511.02922v2
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning

Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
Can Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?

Anahita Golrang, Kshitij Sharma. (05/2026). arXiv. https://arxiv.org/abs/2605.05836v1
Investigating The Effects Of Different Levels Of User Control In An Interactive Educational Recommender System

Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack, Rawaa Ala Trash, Shoeb Joarder. (05/2026). arXiv. https://arxiv.org/abs/2605.01400v1
Relationships Between Trust, Compliance, And Performance For Novice Programmers Using AI Code Generation

Nicholas Gardella, Matthew L. Bolton, Sara L. Riggs. (04/2026). arXiv. https://arxiv.org/abs/2604.18948v1
Fast And Forgettable: A Controlled Study Of Novices' Performance, Learning, Workload, And Emotion In AI-Assisted And Human Pair Programming Paradigms

Nicholas Gardella, James Prather, Juho Leinonen, Paul Denny, Raymond Pettit, Sara L. Riggs. (04/2026). arXiv. https://arxiv.org/abs/2604.18538v1
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning

Jie Cao, Chloe Qianhui Zhao, Christian D. Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv. https://arxiv.org/abs/2604.07469v2
AI Assistance Reduces Persistence and Hurts Independent Performance

Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel Bakker, Rachit Dubey. (04/2026). arXiv. https://arxiv.org/abs/2604.04721
Comparing The Impact Of Pedagogy-Informed Custom And General-Purpose Gai Chatbots On Students' Science Problem-Solving Processes And Performance Using Heterogeneous Interaction Network Analysis

Hanyu Su, Huilin Zhang, Shihui Feng. (04/2026). arXiv. https://arxiv.org/abs/2604.03022v1
Beyond The AI Tutor: Social Learning With LLM Agents

Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv. https://arxiv.org/abs/2604.02677v1
Same Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education

Caitlin Morris, Pattie Maes. (04/2026). arXiv. https://arxiv.org/abs/2604.03075v1
Impact Of Multimodal And Conversational AI On Learning Outcomes And Experience

Karan Taneja, Anjali Singh, Ashok Kumar Goel. (04/2026). arXiv. https://arxiv.org/abs/2604.02221v1
Visual Or Textual: Effects Of Explanation Format And Personal Characteristics On The Perception Of Explanations In An Educational Recommender System

Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal, Astrid Rosenthal-von der Putten. (03/2026). arXiv. https://arxiv.org/abs/2603.25624v1
An Experimental Evaluation Of An AI-Powered Interactive Learning Platform

Courtney Heldreth, Diana Akrong, Laura Vardoulakis, Nicole E. Miller, Yael Haramaty, Lidan Hackmon, Lior Belinsky, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert. (03/2026). arXiv. https://arxiv.org/abs/2509.18664v2
Unpacking Interaction Profiles And Strategies In Human-AI Collaborative Problem Solving: A Cognitive Distribution And Regulation Perspective

Zhanxin Hao, Xiaobo Liu, Jiaxin Fan, Yun Long, Jifan Yu, Wenli Chen, Yu Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.21288v1
Practicing With Language Models Cultivates Human Empathic Communication

Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation

Vedant Bahel, Harshinee Sriram, Cristina Conati. (03/2026). arXiv. https://arxiv.org/abs/2403.04035v3
Vizqstudio: Iterative Visualization Literacy Mcqs Design With Simulated Students

Zixin Chen, Yuhang Zeng, Sicheng Song, Yanna Lin, Xian Xu, Huamin Qu, Meng Xia. (03/2026). arXiv. https://arxiv.org/pdf/2603.00994v1
Multilingual Large Language Models Do Not Comprehend All Natural Languages To Equal Degrees

Natalia Moskvina, Raquel Montero, Masaya Yoshida, Ferdy Hubers, Paolo Morosi, Walid Irhaymi, Jin Yan, Tamara Serrano, Elena Pagliarini, Fritz Gunther, Evelina Leivada. (02/2026). arXiv. https://arxiv.org/pdf/2602.20065v1
Neurochat: A Neuroadaptive AI Chatbot For Customizing Learning Experiences

Dunya Baradari, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, Pattie Maes. (02/2026). arXiv. https://arxiv.org/pdf/2503.07599v2
iRuler: Intelligible Rubric-Based User-Defined Llm Evaluation For Revision

Jingwen Bai, Wei Soon Cheong, Philippe Muller, Brian Y Lim. (02/2026). arXiv. https://arxiv.org/pdf/2602.12779v1
Efficiency Without Cognitive Change: Evidence From Human Interaction With Narrow AI Systems

María Angélica Benítez, Rocío Candela Ceballos, Karina Del Valle, Mundo Araujo Sofía, Sofía Evangelina Victorio Villaroel, Nadia Justel. (02/2026). arXiv. https://arxiv.org/pdf/2510.24893v2
Understanding Persuasive Interactions Between Generative Social Agents And Humans: The Knowledge-Based Persuasion Model (Kpm)

Stephan Vonschallen, Friederike Eyssel, Theresa Schmiedel. (02/2026). arXiv. https://arxiv.org/pdf/2602.11483v1
Same Feedback, Different Source: How AI Vs. Human Feedback Shapes Learner Engagement

Caitlin Morris, Pattie Maes. (02/2026). arXiv. https://arxiv.org/pdf/2602.11311v1
Measuring Inclusion In Interaction: Inclusion Analytics For Human-AI Collaborative Learning

Jaeyoon Choi, Nia Nixon. (02/2026). arXiv. https://arxiv.org/pdf/2602.09269v1
AI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load

Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Küchemann. (02/2026). arXiv. https://arxiv.org/pdf/2602.08893v1
Beagle: Behavior-Enforced Agent For Grounded Learner Emulation

Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma. (02/2026). arXiv. https://arxiv.org/pdf/2602.13280v1
Calibrating Generative AI To Produce Realistic Essays For Data Augmentation

Edward W. Wolfe, Justin Otto Barber, Pearson. (02/2026). arXiv. https://arxiv.org/pdf/2602.06772v1
Exploring The Role Of Tracing In AI-Supported Planning For Algorithmic Reasoning

Yoshee Jain, Heejin Do, Zihan Wu, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2602.03197v1
Exploring Emerging Norms Of AI Disclosure In Programming Education

Runlong Ye, Jessica He, Oliver Huang, Michael Liut. (02/2026). arXiv. https://arxiv.org/pdf/2602.04023v1